Agile Business Analysis Complete Practice Exam 2026

The term that accurately describes individual pieces of information that characterize or define an entity is "attribute." In a data modeling context, an attribute represents a specific piece of data that provides more detail about the entity. For instance, if the entity is a "Car," attributes might include "Color," "Make," "Model," and "Year." Each of these attributes holds specific information that helps in identifying and differentiating the entity.

Understanding attributes is crucial in agile business analysis because they help stakeholders clarify the requirements and characteristics of the entities involved in a project. This clarity enables teams to structure the data effectively and ensures that the entity is well-defined in terms of its properties and characteristics.

While the other terms have their own distinct meanings within the realm of data management and software development, they do not specifically refer to individual pieces of information as attributes do. For example, "entity" refers to a thing or object that exists and can be distinctly identified, while "property" and "feature" can imply broader characteristics or functions that might include multiple attributes rather than individual pieces of information.